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research-article

Dynamical Graph Models of Aircraft Electrical, Thermal, and Turbomachinery Components

[+] Author and Article Information
Matthew Williams

Graduate Research Assistant, Student Member of ASME, Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801
mwillms4@illinois.edu

Justin Koeln

Graduate Research Assistant, Student Member of ASME, Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801
koeln2@illinois.edu

Herschel Pangborn

Graduate Research Assistant, Student Member of ASME, Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801
pangbor2@illinois.edu

Andrew Alleyne

Ralph & Catherine Fisher Professor, Fellow of ASME, Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801
alleyne@illinois.edu

1Corresponding author.

ASME doi:10.1115/1.4038341 History: Received December 21, 2016; Revised October 18, 2017

Abstract

The current trend of electrification in modern aircraft has driven a need to design and control onboard power systems that are capable of meeting strict performance requirements while maximizing overall system efficiency. Model-based control provides the opportunity to meet the increased demands on system performance, but the development of a suitable model can be a difficult and time-consuming task. Due to the strong coupling between systems, control-oriented models should capture the underlying physical behavior regardless of energy domain or time-scale. This paper seeks to simplify the process of identifying a suitable control-oriented model by defining a scalable and broadly applicable approach to generating graph-based models of thermal, electrical, and turbomachinery aircraft components and systems. Subsequently, the process of assembling component graphs into a dynamical system graph that integrates multiple energy domains is shown. A sample electrical and thermal management system is used to demonstrate the capability of a graph model at matching the complex dynamics exhibited by nonlinear and empirically-based simulation models.

Copyright (c) 2017 by ASME
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